用于诊断和监测地方性土壤传播蠕虫的分子工具

M. Manuel, K. Ramanujam, S. Ajjampur
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引用次数: 5

摘要

包括钩虫Necator americanus和钩虫属在内的土壤传播蠕虫(STH)、蛔虫和鞭虫影响着全球超过15亿人,估计已造成190万残疾调整寿命(DALY)。在过去的十年里,随着扩大和改进有针对性的大规模药物管理(MDA)计划的共同努力,以及流行率的下降,一些流行地区的感染往往是低强度的。在寄生虫学调查中推荐的用于检测STH的传统显微镜方法已被证明在这些低强度环境中不太敏感。随着社区通过MDA和改善卫生条件来消除STH,迫切需要高度敏感的技术来检测STH的真实流行率,以评估正在进行的计划和干预措施的有效性。涉及DNA而非生物体形态分析的分子方法具有高度敏感性和特异性,既可以进行定量,也可以进行物种区分。以下综述讨论了可用于STH诊断和监测的不同样本采集策略、预处理步骤、DNA提取平台和核酸检测方法。我们将这些分子工具的实用性与目前在大多数地方病环境中使用的传统显微镜方法进行了对比。虽然检测方法主要基于qPCR,但随着自动化和吞吐量的提高,一些较新的技术也变得可用,这使得这些分子工具越来越具有成本效益,并且可能适合在低资源环境中使用。
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Molecular Tools for Diagnosis and Surveillance of Soil-Transmitted Helminths in Endemic Areas
Soil-transmitted helminths (STH) including the hookworms Necator americanus and Ancylostoma spp., Ascaris lumbricoides, and Trichuris trichiura affect over 1.5 billion people worldwide and are estimated to have caused 1.9 million disability-adjusted life years (DALYs). With the concerted effort in expanding and improving targeted mass drug administration (MDA) programs over the past decade, along with decreasing prevalence, infections in several endemic areas tend to be of low intensity. Conventional microscopy-based methods recommended for the detection of STH in parasitological surveys have been shown to be less sensitive in these low-intensity settings. As communities progress towards STH elimination through MDA and improved sanitation, there is a pressing need for highly sensitive techniques that detect the true prevalence of STH to evaluate the effectiveness of ongoing programs and interventions. Molecular methods that involve analysis of DNA rather than the morphology of the organism are highly sensitive and specific, allowing for both quantitation and species discrimination. The following review discusses different sample collection strategies, pre-processing steps, DNA extraction platforms, and nucleic acid detection methods available for diagnosis and surveillance of STH. We have contrasted the utility of these molecular tools against conventional microscopy-based methods currently used in most endemic settings. While the detection methods are primarily qPCR based, several newer technologies have also become available along with automation and increased throughput, making these molecular tools increasingly cost-effective and potentially amenable for use in low-resource settings.
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